Multi-time Scale Stochastic Optimization for Hybrid AC-DC Distribution Networks with PET Based on E-C-Kmeans Clustering
This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction mod...
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| Vydáno v: | 2025 4th International Conference on Smart Grid and Green Energy (ICSGGE) s. 223 - 226 |
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28.02.2025
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| Abstract | This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction model for new energy scenarios is constructed by integrating the CBFSAFODP algorithm (a fast search and density peak discovery algorithm) with the K-means algorithm. Then, the model aims to minimize wind curtailment penalties, operational and maintenance costs of energy storage devices, electricity purchasing costs, and micro gas turbine generation costs. A random optimization operation model for the day-ahead and intra-day scheduling of the hybrid AC-DC distribution network with PET based on E-C-Kmeans clustering is built. Finally, the case study on the hybrid AC-DC distribution network with PET verifies that the proposed model can reduce system operating costs and effectively address the uncertainty in the distribution of renewable energy generation. |
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| AbstractList | This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction model for new energy scenarios is constructed by integrating the CBFSAFODP algorithm (a fast search and density peak discovery algorithm) with the K-means algorithm. Then, the model aims to minimize wind curtailment penalties, operational and maintenance costs of energy storage devices, electricity purchasing costs, and micro gas turbine generation costs. A random optimization operation model for the day-ahead and intra-day scheduling of the hybrid AC-DC distribution network with PET based on E-C-Kmeans clustering is built. Finally, the case study on the hybrid AC-DC distribution network with PET verifies that the proposed model can reduce system operating costs and effectively address the uncertainty in the distribution of renewable energy generation. |
| Author | Lu, Jiashuo Sun, Yaobin Zheng, Huankun Liu, Shourui Du, Yonggang |
| Author_xml | – sequence: 1 givenname: Yaobin surname: Sun fullname: Sun, Yaobin email: 572828676@qq.com organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China – sequence: 2 givenname: Shourui surname: Liu fullname: Liu, Shourui organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China – sequence: 3 givenname: Jiashuo surname: Lu fullname: Lu, Jiashuo organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China – sequence: 4 givenname: Yonggang surname: Du fullname: Du, Yonggang organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China – sequence: 5 givenname: Huankun surname: Zheng fullname: Zheng, Huankun organization: North China Electric Power University,School of Electrical and Electronic Engineering,Baoding City,Hebei Province,China |
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| Snippet | This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A... |
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| SubjectTerms | Clustering algorithms Costs Distribution networks E-C-Kmeans clustering algorithm Hybrid AC-DC distribution network Hybrid power systems Optimization models PET Power electronics Processor scheduling stochastic optimization Stochastic processes Transformers Uncertainty |
| Title | Multi-time Scale Stochastic Optimization for Hybrid AC-DC Distribution Networks with PET Based on E-C-Kmeans Clustering |
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